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首页> 外文期刊>Clinical EEG and neuroscience: official journal of the EEG and Clinical Neuroscience Society (ENCS) >Spatial-temporal current source correlations and cortical connectivity.
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Spatial-temporal current source correlations and cortical connectivity.

机译:时空电流源相关性和皮质连通性。

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The purpose of this study was to explore spatial-temporal correlations between 3-dimensional current density estimates using Low Resolution Electromagnetic Tomography (LORETA). The electroencephalogram (EEG) was recorded from 19 scalp locations from 97 subjects. LORETA current density was computed for 2,394 gray matter pixels. The gray matter pixels were grouped into 33 left hemisphere and 33 right hemisphere regions of interest (ROIs) based on groupings of Brodmann areas. The average source current density in a given region of interest (ROI) was computed for each 2 second epoch of EEG and then a Pearson product correlation coefficient was computed over the time series of successive 2 second epochs of current density between all pairwise combinations of ROIs during the resting eyes-closed EEG session. Rhythmic changes in source correlation as a function of distance were present in all regions of interest. Also, maximum correlations at certain frequencies were present independent of distance. The occipital regions exhibited the highest short distance correlations and the frontal regions exhibited the highest long distance correlations. In general, the right hemisphere exhibited higher intra-hemispheric source correlations than the left hemisphere especially in the temporal, parietal and occipital cortex. The strongest left vs. right hemisphere differences were in the alpha frequency band (8-12 Hz) and in the gamma frequency band (37-40 Hz). The pattern of spatial frequencies in different cortical lobules is consistent with differences in neural packing density and the operation of 'U' shaped fiber systems. The general conclusions were: 1--the higher the packing density then the greater the intra-cortical connection contribution to LORETA source correlations, 2--spatial frequencies are primarily due to intra-cortical 'U' shaped fiber connections and long distance fiber connections, 3--posterior and temporal cortical intra-hemispheric coupling is generally stronger in the right hemisphere than in the left hemisphere.
机译:这项研究的目的是探索使用低分辨率电磁层析成像(LORETA)在3维电流密度估计之间的时空相关性。从97位受试者的19个头皮位置记录了脑电图(EEG)。 LORETA电流密度是针对2394个灰质像素计算的。根据布罗德曼区域的分组,将灰质像素分为33个左半球和33个右半球感兴趣区域(ROI)。针对脑电图的每2秒钟计算给定关注区域(ROI)中的平均源电流密度,然后在ROI的所有成对组合之间连续2秒钟的电流密度的时间序列上计算皮尔逊积相关系数在休息的闭眼式EEG期间。源相关性的有节奏变化是距离的函数,出现在所有感兴趣的区域。同样,在某些频率下存在最大的相关性而与距离无关。枕骨区域显示最高的短距离相关性,额叶区域显示最高的长距离相关性。通常,右半球表现出比左半球更高的半球内源相关性,尤其是在颞叶,顶叶和枕叶皮质。左半球与右半球之间最强的差异是在α频段(8-12 Hz)和γ频段(37-40 Hz)。不同皮质小叶中的空间频率模式与神经堆积密度和“ U”形纤维系统操作的差异一致。总体结论是:1-堆积密度越高,皮层内连接对LORETA源相关性的贡献越大; 2空间频率主要归因于皮层内“ U”形光纤连接和长距离光纤连接,半后半球和后半球的大脑半球内耦合通常在右半球比左半球更强。

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